Data Scientist - Portfolio Analytics - Remote

Overview

A results-driven Data Scientist specializing in portfolio analytics, risk modeling, and performance attribution, focusing on alternative investments and digital assets.

In Short

• Build and validate portfolio analytics models related to risk, attribution, and performance.
• Define data requirements around alternative and digital investment products.
• Process and analyze large-scale financial data sets using Python.
• Develop data flows using AWS (S3) and Snowflake.
• Build data visualizations and dashboards using Power BI.
• Collaborate with cross-functional teams.
• Participate in agile practices including sprint planning and reviews.

Requirements

• Experience in Performance Attribution and Portfolio Analytics.
• Knowledge of Portfolio Risk.
• Exposure to Alternative Investment Products and Digital Assets.
• Strong Python skills for data processing and analytics.
• Experience with AWS (S3) for data storage and integration.
• Hands-on experience with Snowflake.
• Proficiency in Power BI or similar tools.

Benefits

• 100% Remote Work.
• Highly Competitive USD Pay.
• Paid Time Off.
• Autonomous work environment.
• Opportunity to work with top American companies.